M.V. Pathan

532 total citations
17 papers, 412 citations indexed

About

M.V. Pathan is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Building and Construction. According to data from OpenAlex, M.V. Pathan has authored 17 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanics of Materials, 11 papers in Civil and Structural Engineering and 4 papers in Building and Construction. Recurrent topics in M.V. Pathan's work include Mechanical Behavior of Composites (12 papers), Composite Material Mechanics (6 papers) and High-Velocity Impact and Material Behavior (4 papers). M.V. Pathan is often cited by papers focused on Mechanical Behavior of Composites (12 papers), Composite Material Mechanics (6 papers) and High-Velocity Impact and Material Behavior (4 papers). M.V. Pathan collaborates with scholars based in United Kingdom, India and United States. M.V. Pathan's co-authors include Vito L. Tagarielli, Sophoclis Patsias, Sathiskumar A. Ponnusami, Borja Erice, Nik Petrinić, Dineshkumar Harursampath, J.A. Rongong, Hao Cui, Sajjad Hussain and Daniel Thomson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Materials Science and Engineering A.

In The Last Decade

M.V. Pathan

16 papers receiving 406 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.V. Pathan United Kingdom 9 280 126 120 65 46 17 412
Su Tian United States 4 167 0.6× 105 0.8× 107 0.9× 50 0.8× 29 0.6× 13 338
Lucian Iorga United States 6 299 1.1× 132 1.0× 95 0.8× 32 0.5× 54 1.2× 12 449
F. Otero Spain 13 444 1.6× 157 1.2× 170 1.4× 75 1.2× 56 1.2× 28 556
Enrico Panettieri France 15 396 1.4× 217 1.7× 213 1.8× 40 0.6× 68 1.5× 30 532
Ruxin Gao China 11 243 0.9× 106 0.8× 221 1.8× 127 2.0× 39 0.8× 32 421
Dimitrios Savvas Greece 10 300 1.1× 81 0.6× 129 1.1× 114 1.8× 28 0.6× 13 474
Satish K. Bapanapalli United States 11 318 1.1× 282 2.2× 76 0.6× 42 0.6× 66 1.4× 21 541
Zhoucheng Su Singapore 12 439 1.6× 188 1.5× 267 2.2× 63 1.0× 102 2.2× 33 620
Hossein Ghayoor Canada 11 405 1.4× 172 1.4× 264 2.2× 37 0.6× 44 1.0× 15 530
Łukasz Kaczmarczyk United Kingdom 14 483 1.7× 88 0.7× 156 1.3× 107 1.6× 49 1.1× 38 611

Countries citing papers authored by M.V. Pathan

Since Specialization
Citations

This map shows the geographic impact of M.V. Pathan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M.V. Pathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.V. Pathan more than expected).

Fields of papers citing papers by M.V. Pathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.V. Pathan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M.V. Pathan. The network helps show where M.V. Pathan may publish in the future.

Co-authorship network of co-authors of M.V. Pathan

This figure shows the co-authorship network connecting the top 25 collaborators of M.V. Pathan. A scholar is included among the top collaborators of M.V. Pathan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.V. Pathan. M.V. Pathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Hussain, Sajjad, et al.. (2025). Enhancing compressive strength prediction of sustainable concrete using MEP and GEP models with SHAP-based interpretation. Asian Journal of Civil Engineering. 27(1). 245–262. 3 indexed citations
2.
Pathan, M.V., et al.. (2025). Machine learning based prediction of compressive strength in roller compacted concrete: a comparative study with PDP analysis. Asian Journal of Civil Engineering. 26(5). 2241–2253. 8 indexed citations
3.
Harursampath, Dineshkumar, et al.. (2022). A computationally efficient approach for generating RVEs of various inclusion/fibre shapes. Composite Structures. 291. 115560–115560. 25 indexed citations
4.
Ponnusami, Sathiskumar A., et al.. (2022). An integrated inverse numerical–experimental approach to determine the dynamic Mode-I interlaminar fracture toughness of fibre composites. Composite Structures. 293. 115734–115734. 7 indexed citations
5.
Pathan, M.V., et al.. (2019). Predictions of the mechanical properties of unidirectional fibre composites by supervised machine learning. Scientific Reports. 9(1). 13964–13964. 121 indexed citations
6.
Pathan, M.V., Borja Erice, Sathiskumar A. Ponnusami, & Nik Petrinić. (2018). Experimental characterisation of rate-dependent compression behaviour of fibre reinforced composites. SHILAP Revista de lepidopterología. 183. 2053–2053. 1 indexed citations
7.
Pathan, M.V., Alaa Al-Mosawe, & Riadh Al‐Mahaidi. (2018). Predicting the Strength of CFRP-steel joints using Genetic Programming. IOP Conference Series Materials Science and Engineering. 433. 12028–12028. 1 indexed citations
8.
Ponnusami, Sathiskumar A., Hao Cui, Borja Erice, M.V. Pathan, & Nik Petrinić. (2018). A Wedge-DCB Test Methodology to Characterise High Rate Mode-I Interlaminar Fracture Properties of Fibre Composites. SHILAP Revista de lepidopterología. 183. 2052–2052. 4 indexed citations
9.
Erice, Borja, Daniel Thomson, Sathiskumar A. Ponnusami, M.V. Pathan, & Nik Petrinić. (2018). On the Rate-dependent Plasticity Modelling of Unidirectional Fibre-reinforced Polymeric Matrix Composites. SHILAP Revista de lepidopterología. 183. 1055–1055. 3 indexed citations
10.
Ponnusami, Sathiskumar A., et al.. (2018). Correction: Evaluating the effect of matrix voids and interface flaws on the mechanical behaviour of fiber composites. 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 1 indexed citations
11.
Pathan, M.V., Sophoclis Patsias, & Vito L. Tagarielli. (2018). A real-coded genetic algorithm for optimizing the damping response of composite laminates. Computers & Structures. 198. 51–60. 37 indexed citations
12.
Ponnusami, Sathiskumar A., et al.. (2018). Evaluating the effect of matrix voids and interface flaws on the mechanical behaviour of fiber composites. 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference.
13.
Pathan, M.V., Sophoclis Patsias, J.A. Rongong, & Vito L. Tagarielli. (2017). Measurements and predictions of the viscoelastic properties of a composite lamina and their sensitivity to temperature and frequency. Composites Science and Technology. 149. 207–219. 17 indexed citations
14.
Pathan, M.V., Vito L. Tagarielli, & Sophoclis Patsias. (2016). Numerical predictions of the anisotropic viscoelastic response of uni-directional fibre composites. Composites Part A Applied Science and Manufacturing. 93. 18–32. 51 indexed citations
15.
Pathan, M.V., et al.. (2016). A new algorithm to generate representative volume elements of composites with cylindrical or spherical fillers. Composites Part B Engineering. 110. 267–278. 73 indexed citations
16.
Pathan, M.V., et al.. (2016). Measurements of the mechanical response of Indium and of its size dependence in bending and indentation. Materials Science and Engineering A. 683. 244–251. 12 indexed citations
17.
Pathan, M.V., Vito L. Tagarielli, & Sophoclis Patsias. (2016). Effect of fibre shape and interphase on the anisotropic viscoelastic response of fibre composites. Composite Structures. 162. 156–163. 48 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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